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Deep Learning Algorithm Trained with COVID-19 Pneumonia Also Identifies Immune Checkpoint Inhibitor Therapy-Related Pneumonitis.

Carlo Augusto MallioAndrea NapolitanoGennaro CastielloFrancesco Maria GiordanoPasquale D'AlessioMario IozzinoYipeng SunSilvia AngelettiMarco RussanoDaniele SantiniGiuseppe ToniniBruno Beomonte ZobelBruno VincenziCarlo Cosimo Quattrocchi
Published in: Cancers (2021)
The deep learning algorithm is not able to distinguish between COVID-19 pneumonia and ICI therapy-related pneumonitis. Awareness must be increased among clinicians about imaging similarities between COVID-19 and ICI therapy-related pneumonitis. ICI therapy-related pneumonitis can be applied as a challenge population for cross-validation to test the robustness of AI models used to analyze interstitial pneumonias of variable etiology.
Keyphrases
  • deep learning
  • coronavirus disease
  • sars cov
  • machine learning
  • artificial intelligence
  • stem cells
  • mass spectrometry
  • genome wide
  • acute respiratory distress syndrome